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Evaluation of Multi-Agent Systems: Proposal and Validation of a Metric Plan

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Transactions on Computational Collective Intelligence VII

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 7270))

Abstract

In the MAS evaluation research field there are still few works devoted to evaluating systems’ efficacy, and none of these aimed to measure the adequacy of the MAS in terms of rationality, autonomy, reactivity and environment adaptability. A reliable evaluation method should be general enough to estimate the success of the multi-agent paradigm in different domains, measuring the performances of each single agent and then of the entire MAS. Moreover, it should be able to relate these measures to the environment complexity, that embodies the complexity of the problem solved by the MAS. In this paper a method for evaluating static multi-agent systems is presented and its validation described. The main novelties of the method are that it allows the MAS to be evaluated in the context of the environment in which it will operate, and its adequacy to the environment to be judged from the viewpoints of both the designer, wishful to measure the quality of the designed MAS, and the evaluator, wishful to verify the adequacy of several MASs in a specific context. A validation of the method is described, carried out by evaluating two MASs: the GeCo-Automotive system and a Multi-Agent Tourism Recommender system.

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References

  1. Basili, V., Caldiera, G., Rombach, H.: The Goal Question Metric Approach. In: Marciniak, J.J. (ed.) Encyclopedia of Soft. Eng., vol. 2, pp. 528–532. John Wiley & Sons, Inc. (1994)

    Google Scholar 

  2. Di Bitonto, P., Laterza, M., Roselli, T., Rossano, V.: An Evaluation Method for Multi-Agent Systems. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds.) KES-AMSTA 2010. LNCS, vol. 6070, pp. 32–41. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Di Bitonto, P., Plantamura, V.L., Roselli, T., Rossano, V.: A taxonomy for cataloging LOs using IEEE educational metadata. In: 7th IEEE International Conference on Advanced Learning Technologies, pp. 139–141. IEEE Press, Los Alamitos (2007)

    Google Scholar 

  4. Casali, A., Von Furth, A., Godo, L., Sierra, C.: A Tourism Recommender Agent: From theory to practice. J. of Inteligencia Artificial 12, 23–38 (2008)

    Google Scholar 

  5. Chidamber, S.R., Kemerer, C.F.: A Metrics Suite for Object Oriented Design. J. IEEE Transactions on Software Engineering 20, 476–493 (1994)

    Article  Google Scholar 

  6. Jang, K.S., Nam, T.E., Wadhwa, B.: On measurement of Objects and Agents, http://www.comp.nus.edu.sg/~bimlesh/ametrics/index.htm

  7. Klügl, F.: Measuring Complexity of Multi-agent Simulations – An Attempt Using Metrics. In: Dastani, M.M., El Fallah Seghrouchni, A., Leite, J., Torroni, P. (eds.) LADS 2007. LNCS (LNAI), vol. 5118, pp. 123–138. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Król, D., Zelmozer, M.: Structural Performance Evaluation of Multi-Agent Systems. J. of Universal Computer Science 14, 1154–1178 (2008)

    Google Scholar 

  9. Gutiérez, C., García-Magariño, I., Gómez-Sanz, J.J.: Evaluation of Multi-Agent System Communication in INGENIAS. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds.) IWANN 2009. LNCS, vol. 5517, pp. 619–626. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Ben Hmida, F., Lejouad Chaari, W., Tagina, M.: Performance Evaluation of Multiagent Systems: Communication Criterion. In: Nguyen, N.T., Jo, G.-S., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2008. LNCS (LNAI), vol. 4953, pp. 773–782. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Lass, R.N., Sultanik, E.A., Regli, W.C.: Metrics for Multi-agent Systems. In: Madhavan, R., Tunstel, E., Messina, E. (eds.) Performance Evaluation and Benchmarking of Intelligent Systems. LNCS, pp. 1–19. Springer, US (2009)

    Chapter  Google Scholar 

  12. Russell, S., Norvig, P.: Artificial intelligence: A modern approach. Prentice-Hall, Englewood Cliffs (1995)

    MATH  Google Scholar 

  13. Wooldridge, M., Jennings, N.R.: Intelligent agents: Theory and practice. The Knowledge Engineering Review 10, 115–152 (1995)

    Article  Google Scholar 

  14. Nwana, H.S.: Software Agents: An Overview. The Knowledge Engineering Review 11, 205–244 (1996)

    Article  Google Scholar 

  15. Wiley, D.A.: Connecting learning objects to instructional design theory: A definition, metaphor and taxonomy. J. of Instructional Use of Learning Objects 2830, 1–35 (2000)

    Google Scholar 

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Di Bitonto, P., Laterza, M., Roselli, T., Rossano, V. (2012). Evaluation of Multi-Agent Systems: Proposal and Validation of a Metric Plan. In: Nguyen, N.T. (eds) Transactions on Computational Collective Intelligence VII. Lecture Notes in Computer Science, vol 7270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32066-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-32066-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32065-1

  • Online ISBN: 978-3-642-32066-8

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